Jin Shao

3.7k total citations
42 papers, 1.0k citations indexed

About

Jin Shao is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Jin Shao has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 16 papers in Hematology and 8 papers in Cancer Research. Recurrent topics in Jin Shao's work include Acute Myeloid Leukemia Research (15 papers), RNA Research and Splicing (9 papers) and RNA Interference and Gene Delivery (6 papers). Jin Shao is often cited by papers focused on Acute Myeloid Leukemia Research (15 papers), RNA Research and Splicing (9 papers) and RNA Interference and Gene Delivery (6 papers). Jin Shao collaborates with scholars based in United States, China and United Kingdom. Jin Shao's co-authors include Tieyi Yang, Matthew J. Walter, Timothy A. Graubert, Weiwei Zhang, Matthew Ndonwi, Cara Lunn Shirai, Robert S. Fulton, Sanghyun P. Kim, Michelle D. O’Laughlin and Catrina C. Fronick and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Genes & Development.

In The Last Decade

Jin Shao

38 papers receiving 1.0k citations

Peers

Jin Shao
Comparison fields: 5 of 93
  • Molecular Biology 673
  • Hematology 342
  • Cancer Research 180
  • Genetics 172
  • Oncology 88
Replace Aravind Ramakrishnan with:
Aravind Ramakrishnan United States
Youshan Zhao China
Dora Višnjić Croatia
Qinggang Dai China
Emanuela Chiarella Italy
Yimei Feng China
Anastasia N. Tikhonova United States
Н. И. Дризе Russia
Hidetoshi Tsushima Japan
Grazia Abou‐Ezzi United States
Aravind Ramakrishnan United States View profile →
Citations per field, relative to Jin Shao
Jin Shao · 1×
Citations per year, relative to Jin Shao
Jin Shao · 1×

Countries citing papers authored by Jin Shao

Since Specialization
Citations

This map shows the geographic impact of Jin Shao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Shao more than expected).

Fields of papers citing papers by Jin Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Shao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin Shao. The network helps show where Jin Shao may publish in the future.

Co-authorship network of co-authors of Jin Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Shao. A scholar is included among the top collaborators of Jin Shao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Shao. Jin Shao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 7
3 22
4 0
5 12
6 12
7 4
8 37
9 36
10 1
11 24
12 82
13 6
14 211
15 30
16 17
17 27
18 28
19 11
20 35

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026